Proportional hazards models: a latent competing risk approach

Alan E. Gelfand, Sujit K. Ghosh, Cindy Christiansen, Stephen B. Soumerai and Thomas J. McLaughlin

Journal of the Royal Statistical Society Series C, 2000, vol. 49, issue 3, 385-397

Abstract: We propose a novel semiparametric version of the widely used proportional hazards survival model. Features include an arbitrarily rich class of continuous base‐line hazards, an attractive epidemiological interpretation of the hazard as a latent competing risk model and trivial handling of censoring. Models are fitted by using a data augmentation scheme. The methodology is applied to a data set recording times to first hospitalization following clinical diagnosis of acquired immune deficiency syndrome for a sample of 169 patients.

Date: 2000
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Persistent link: https://EconPapers.repec.org/RePEc:bla:jorssc:v:49:y:2000:i:3:p:385-397

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